NanoString

NanoString GeoMx Spatial Transcriptomics

The recommended and preferred solution for best-in-class GeoMx data analysis
NanoString

NanoString nCounter Gene and miRNA Expression

Bruker's recommended and preferred solution for best-in-class nCounter data analysis
RNA-seq

Bulk RNA-seq Gene Expression

DIY Bioinformatics for this genomics staple
SimpleCell

CS Genetics SimpleCell 3' Gene Expression

Single Cell Without the Hassle (or Instrument)
Single Cell

Single Cell Gene Expression

From FASTQ to cell clusters and beyond
Small RNA-seq

Gene Regulation & Anti-Sense: Small RNA-seq

Small RNA-seq data analysis designed for the biologist
ChIP-seq

Histone Mark & Transcription Factor: ChIP-seq

Comprehensive ChIP-seq data analysis
ATAC-seq

Chromatin Accessibility: ATAC-Seq

Genome-wide chromatin accessibility analysis
Sharing and Collaboration

Sharing & Collaboration

Accelerate teamwork anywhere in the world
Knowledge Graph

Knowledge Graph and Search

Data organized for semantic queries
Knowledge Graph

COVID-19 Diagnostic Monitoring System

SARS-CoV-2 Viral Mutation Tracking
Single Cell

COVID Research Community

Global research analyzing COVID-19 genomic datasets

RNA-seq

Immuno Oncology

Making discoveries on IO research

NanoString

Breast Cancer

Identifying differentially expressed miRNAs in breast cancer

Small RNA-seq

HIV

Transcriptional and genomic profiling study of HIV+ DLBCL

ChIP-seq

Diabetes

Discover and accelerate T1D

ATAC-seq

Multi-Omics Dataset

Explore multi-omics datasets in epigenetics research

Single Cell Data

Single Cell Data

Explore datasets with our Cell Ranger graph-based clustering

nanoString Gene Expression

nanoString Gene Expression

Analyze your nCounter data in minutes

nanoString Mouse Glial Profiling Panel

nanoString Mouse Glial Profiling Panel

Explore neuroinflammatory astrocyte subtypes in the mouse brain

RNA-Seq Data

RNA-Seq Data

Get started with bulk RNA-Seq data

Subscriptions and Pricing

Learn about Enterprise, Professional, and Academic subscriptions

Enterprise Offering

Expand the depth and reach of your scientific data teams

Leadership Team

Bringing decades of experience in BioInformatics, Technology, and Software Development

News & Updates

Read the latest news and product announcements

Careers

Join the Rosalind Team

Contact Us

Contact Rosalind
ROSALIND Academy

ROSALIND Academy
nCounter Masterclass

NanoString nCounter Gene Expression Masterclass
GeoMx Masterclass

NanoString GeoMx Spatial Transcriptomics Masterclass

Get the Most from Your GeoMx Data:
The Way It Was Meant to Be

 
You chose the GeoMx Digital Spatial Profiler (DSP) for its unmatched spatial precision, multi-omics power, and high-throughput capabilities—redefining spatial biology. But your data is only as strong as your analysis.
 
Every region of interest (ROI), every transcript, every cell matters. Outdated, fragmented, and rigid analysis pipelines can’t deliver the accuracy, flexibility, or depth your research demands. That’s why Rosalind is essential—ensuring you extract the most precise, reliable insights from your spatial data.
 

Not All “Web-Based” Analysis is the Same

The GeoMx Data Analysis software on the instrument itself is just an embedded web server.

Unlike true cloud-based platforms, it lacks scalability, slows down the instrument, and creates unnecessary complexity—forcing scientists to choose between scanning and analysis instead of optimizing both. 

GeoMx gives you the best spatial data. Rosalind ensures you get the best spatial insights.

. GET 90 DAYS OF PREMIUM ACCESS FREE BEFORE YOU BUY

The Clear Choice for Spatial Biology Analysis

Finding the right analysis tool shouldn’t mean sacrificing power for usability. Coding packages like R and Python offer flexibility but require deep expertise, while DSPDA is bound to the instrument, limiting access, security, and collaboration.

Rosalind eliminates these barriers with a secure, cloud-based platform that’s accessible anywhere. It enables seamless team collaboration, advanced pathway interpretation, and AI-driven insights—without the complexity of coding. Scalable, intuitive, and built for discovery, Rosalind makes spatial data analysis more powerful and efficient than ever.
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Designed for Scientists
At Every Step of Your Analysis

Scientists of every skill level can benefit from ROSALIND since no programming or bioinformatics skills are required. With NanoString GeoMx, scientists have full control from the lab to powerful downstream analysis, collaboration, and pathway exploration.

Break Free from Instrument Constraints

Move beyond the limitations of instrument-bound analysis with Rosalind’s powerful cloud-based platform. Effortlessly manage and explore your data without slowing down instrument performance or draining computational resources. Process backlog data efficiently, uncover insights faster, and seamlessly integrate spatial results with other multi-omics datasets using Meta-Analysis. Instantly share findings with collaborators anywhere in the world—accelerating discoveries and eliminating research bottlenecks.
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GeoMx_IdealQC

Intuitive QC visualizations unlock meaningful insights

ROSALIND offers powerful QC analysis that provides clear insight into the quality of your data. By indicating the pass/fail status of each region or area of interest, researchers gain a comprehensive understanding of data integrity. Intuitive visualizations highlight exactly where regions or areas of interest fail during processing, enabling swift identification of issues. With the ability to adjust QC parameters and instantly reprocess data, the platform ensures that each experiment yields the highest quality results.

Real-Time Precision & Control for Deeper Insights

Rosalind’s advanced visualization and filtering give you unmatched control over your data. See gene and region filtering updates in real time with complete transparency, ensuring precision while minimizing noise. Our flexible approach preserves low expressors, delivering clearer insights that set a new industry standard.
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Never Lose Sight of
Important Genes

Utilize gene lists on ROSALIND to identify genes of interest before finalizing your experiment, making them easy to find in the downstream analysis. Ensure these key targets are retained in your dataset by tracking them though QC analysis, and interact with the genes of interest during differential expression to quickly focus analyses and discoveries.

Making Spatial Data Analysis Accessible to Every Scientist (and Pathogist)

Spatial data analysis has long been limited by inconsistency, scalability challenges, and the need for specialized expertise. Rosalind removes these barriers with intuitive, guided workflows and automated processes that ensure reproducible, high-quality results. Designed for researchers at any level, Rosalind makes GeoMx analysis seamless, whether for a single project or large-scale studies. Now, spatial data isn’t a hurdle—it’s an opportunity.
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AI-Powered Insights
Rooted in Biological Truth

Unlock the power of generative AI with the Rosalind Knowledge Graph, delivering rich, data-driven Literature Reviews in seconds for your target genes of interest. Seamlessly explore correlations across all available GeoMx data from public repositories, revealing hidden connections that drive new discoveries. With Rosalind, transform complex data into groundbreaking insights that elevate the impact of your research.

Unmatched GeoMx Expertise, Beyond Basic Support

At Rosalind, we go beyond standard support—our team of dedicated GeoMx experts brings deep technical and scientific expertise to every project. While NanoString advances the technology, we focus on your success, ensuring you stay ahead with cutting-edge analysis and actionable insights.
With PhD-level Customer Success specialists, we combine technical precision with real-world scientific understanding, helping you extract the most meaningful insights from your GeoMx data. Partner with Rosalind for expert guidance that elevates your research.
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GeoMx-Meta

Meta Analysis Mastery
Harmonizing GeoMx and
Multi-Omics Data

Unlock the full narrative of your GeoMx data by integrating with diverse multiomics layers of data. Rosalind’s meta-analysis empowers you to compare GeoMx datasets with precision or to weave them into a broader multi-omics tapestry with Rosalind Intelligence to discover and interpret patterns in multi-omics expression and regulation.

This integrative approach ensures that your GeoMx insights are not isolated but are considered in the context of the complex biological systems they inhabit, offering a holistic understanding that drives innovative research and serves a data mining foundation for future insight harvesting.

Mastering Spatial Biology Data Analysis | Rosalind GeoMx Masterclass Series

Spatial biology is revolutionizing how researchers explore tissue microenvironments and gene expression, but traditional analysis methods often come with steep learning curves and software limitations. Our GeoMx Masterclass Series is designed to simplify the process, equipping you with the knowledge and tools to analyze your spatial transcriptomics data efficiently and accurately.

 
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